Authors:
Luisa Vervier
and
Martina Ziefle
Affiliation:
Human Computer Interaction Center, RWTH Aachen University, Campus Boulevard 57, Aachen, Germany
Keyword(s):
Mhealth Apps, Acceptance, User Diversity, Online Privacy, Trust.
Abstract:
Never before has there been such a driving transformation of healthcare concerning digitalization as in early 2020 due to the pandemic. The digital transformation in the health sector holds great potential to meet the challenges of demographic change, the financial burden on the health system and the shortage of skilled workers. One digital solution is the usage of modern information and communication technologies (ICT), such as mhealth applications (mhealth apps). However, the usage of mhealth apps especially in the German healthcare system is still evolving and the usage rate of mhealth apps among the population is rather low. To understand acceptance-relevant factors for the usage, this meta-analytical study presents two samples before and during pandemic times (survey times 2019 and 2021). To analyse these samples the UTAUT2 acceptance model in an extended version was applied. The additional factors are online privacy, trust and ehealth literacy. In total 644 participants took pa
rt. The results show, that the factors habit, hedonic motivation, performance expectancy, social influence and effort expectancy contribute most strongly to the intention to use mhealth apps as well as the added factor trust. The decisive factor for the user profiles was age.
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